Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Surkovský
dblp:18/7590
· DBLP profile ↗
7ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-7474-123XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 4 · 1 since 2021Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
ligand transport analysis |
0.7 | 1 | 2023 | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support · Bioinform. 2023 |
Bioinformatics and computational biology › molecular informatics › molecular modeling
molecular docking |
0.7 | 1 | 2023 | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support · Bioinform. 2023 |
Bioinformatics and computational biology
structural bioinformatics |
0.7 | 1 | 2023 | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
molecular docking · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation supportabstractSUMMARY: Access pathways in enzymes are crucial for the passage of substrates and products of catalysed reactions. The process can be studied by computational means with variable degrees of precision. Our in-house approximative method CaverDock provides a fast and easy way to set up and run ligand binding and unbinding calculations through protein tunnels and channels. Here we introduce pyCaverDock, a Python3 API designed to improve user experience with the tool and further facilitate the ligand transport analyses. The API enables users to simplify the steps needed to use CaverDock, from automatizing setup processes to designing screening pipelines. AVAILABILITY AND IMPLEMENTATION: pyCaverDock API is implemented in Python 3 and is freely available with detailed documentation and practical examples at https://loschmidt.chemi.muni.cz/caverdock/. Ondrej Vavra, Jakub Beránek, Jan Stourac, Martin Surkovský, Jiri Filipovic, Jirí Damborský, Jan Martinovic, David Bednar |
Bioinform. | 4 |
| 2019 | MP net as abstract model of communication for message-passing applicationsabstractMP net is a formal model specifically designed for the field of parallel applications that use message passing interface. The main idea is to use MP net as a comprehensible way of presenting the actual structure of communication within MPI applications. The goal is to provide users with the kind of feedback that can help them to check quickly whether or not the actual communication within their application corresponds to the intended one. This paper introduces MP net that focuses on the communication part of parallel applications and emphasizes its spatial character, which is rather hidden in sequential (textual) form. Martin Surkovský |
CF | 1 |
| 2019 | A Distributed Environment for Traffic Navigation Systems
Jan Martinovic, Martin Golasowski, Katerina Slaninová, Jakub Beránek, Martin Surkovský, Lukás Rapant, Daniela Szturcová, Radim Cmar |
CISIS | 5 |
| 2014 | Kaira: Development Environment for MPI Applications
Stanislav Böhm, Marek Behalek, Ondrej Meca, Martin Surkovský |
Petri Nets | 4 |
| 2013 | Visual Programming of MPI Applications: Debugging and Performance Analysis
Stanislav Böhm, Marek Behalek, Ondrej Meca, Martin Surkovský |
FedCSIS | 4 |
| 2011 | Parallelization of ant colony optimization algorithm using KairaabstractParallel computing can be very useful for meta-heuristic algorithms, because it can reduce time to find a solution with given properties. On the other hand parallel programming is generally more difficult than the sequential one and we need more development time to get a working parallel solution. We are developing a tool named Kaira which is intended for modelling, debugging, and automated generation of parallel applications. The modelling is based on our own variant of Coloured Petri Nets. In this paper we present how to create parallel programs from an existing sequential implementation of Ant Colony Optimization Algorithm using Kaira. This approach simplifies the development process and thus saves the development time and costs. Marek Behalek, Stanislav Böhm, Pavel Krömer, Martin Surkovský, Ondrej Meca |
ISDA | 4 |
| 2010 | Utilization of an Image Specific Areas in SearchingabstractThe paper describes how to use the image specific segments in search. Particularly it refers to the coins photos, which means we need to regard rotations and different deformations of the images. Possibilities of the images preprocessing are briefly described in the introduction. A great number of images which seems the same at first glance, but differs in details, they may have different texts, symbols, etc. The article deals with proper algorithms for selection of such specific segments, processing, saving and application in search. Radoslav Fasuga, Petr Kaspar, Martin Surkovský |
ICDS | 3 |